Mixed Small Gain and Phase Theorem: A new view using Scale Relative Graphs
We introduce a novel approach to feedback stability analysis for linear time-invariant (LTI) systems, overcoming the limitations of the sectoriality assumption in the small phase theorem. While phase analysis for single-input single-output (SISO) systems is well-established, multi-input multi-output (MIMO) systems lack a comprehensive phase analysis until recent advances introduced with the small-phase theorem.A limitation of the small-phase theorem is the sectorial condition, which states that an operator’s eigenvalues must lie within a specified angle sector of the complex plane. We propose a framework based on Scaled Relative Graphs (SRGs) to remove this assumption. We derive two main results: a graphical set-based stability condition using SRGs and a small-phase theorem with no sectorial assumption. These results broaden the scope of phase analysis and feedback stability for MIMO systems.
Authors
- Adolfo Anta (ORCID: https://orcid.org/0000-0002-6872-6073)
- Alberto Padoan (ORCID: https://orcid.org/0000-0003-1597-0395)
- Eder Baron-Prada (ORCID: https://orcid.org/0000-0003-0128-5274)
- Florian Dörfler (ORCID: https://orcid.org/0000-0002-9649-5305)
Institutions
- AIT Austrian Institute of Technology GmbH (AT)
- University of British Columbia (CA)
Publication Details
- Published
- 2025-06-24
- DOI
- https://doi.org/10.23919/ecc65951.2025.11187196
- Primary Topic
- Matrix Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00